no code implementations • 13 Feb 2024 • Xianjun Ma, Yonggang Zhou, Qi Luo, Yihan Ma, Kyriakos Stylianopoulos, George C. Alexandropoulos
In this paper, a proof-of-concept study of a $1$-bit wideband reconfigurable intelligent surface (RIS) comprising planar tightly coupled dipoles (PTCD) is presented.
no code implementations • 13 Jun 2023 • Yihan Ma, Zhengyu Zhao, Xinlei He, Zheng Li, Michael Backes, Yang Zhang
In particular, to help the watermark survive the subject-driven synthesis, we incorporate the synthesis process in learning GenWatermark by fine-tuning the detector with synthesized images for a specific subject.
1 code implementation • 13 Jun 2023 • Yihan Ma, Zhikun Zhang, Ning Yu, Xinlei He, Michael Backes, Yun Shen, Yang Zhang
Graph generative models become increasingly effective for data distribution approximation and data augmentation.
no code implementations • 31 Aug 2022 • Ruochen Xiao, Yingying Feng, Lei Yan, Yihan Ma
For LSTM model, the data from 01 January 2010 to 31 December 2015 are selected as the training set, the data from 01 January 2016 to 31 December 2017 as the validation set and the data from 01 January 2018 to 31 December 2018 as the test set.
no code implementations • 8 Jun 2020 • Ahsan Noor Khan, Achintha Avin Ihalage, Yihan Ma, Baiyang Liu, Yujie Liu, Yang Hao
We have compared our results with those obtained from five different classical ML algorithms and it is established that deep learning offers a superior performance even with limited amount of raw RF and post processed time-sequence data.